Poverty can have spatial dimensions. While general figures might show the spatial pattern of poverty, there is a need for more detailed examination of this pattern. Relying on simple figures of spatial patterns and ranking regions based on them might be misleading. This paper tries to apply spatial analysis methodsm, namely spatial autoregressive models to find out the impacts of space on the h...

The concept of spatial justice has been widely employed in the recent literature that attempts to deal with concepts and practices of justice from a geographical perspective. However, the concept of spatial justice needs to be recast. Spatial justice could be the most radical offspring of law’s ‘spatial turn’. Spatial justice is arguably the most promising platform on which to redefine, not o...

Spatial mobility is a topical concept of analytical migration science, which makes it possible to assess the desires, readiness and capabilities of the population to move over certain distances and time. In the management of spatial mobility assessment requires the organization of systematic monitoring, which includes identifying the mobility potential in spatial and temporal interpretation, th...

Our main objective in the present study was to assess the spatial variation of chemical and physical water properties. Prior to the design of groundwater quality monitoring networks, it is essential to investigate the spatial structure of the groundwater quality variables. A case study is presented which used ground water quality observations from groundwater domestic wells in the Dameghan, Ira...

It is universally agreed concept that education is a corner s‌tone for socio economic transformation.  Education has been recognized as weapon to fight backwardness, poverty and illiteracy for ages. Experience have shown that all the good benefit of education has been assured only when there is quality education. However, there are visible indicators that education quality has not been s‌till a...

the statistical analysis of spatial data is usually done under gaussian assumption for the underlying random field model. when this assumption is not satisfied, block bootstrap methods can be used to analyze spatial data. one of the crucial problems in this setting is specifying the block sizes. in this paper, we present asymptotic optimal block size for separate block bootstrap to estimate the...

to achieve sustainable urban development and values from social justice; it is essential that all citizens enjoy resources, facilities and life opportunities equally. due to lack of a stable or systematic approach of measuring urban problems, disparity in environmental conditions or access to social and physical infrastructures is more obvious, especially in the cities of developing countries. ...